Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies [0.03%]
机器学习算法在自杀风险预测中的作用：临床研究的系统评价-荟萃分析
Houriyeh Ehtemam,Shabnam Sadeghi Esfahlani,Alireza Sanaei et al.
Houriyeh Ehtemam et al.
Objective: Suicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML) ...
Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning [0.03%]
一种基于元机器学习的个性化生物医学因果图学习的新型因果推理算法研究
Hang Wu,Wenqi Shi,May D Wang
Hang Wu
Background: Modeling causality through graphs, referred to as causal graph learning, offers an appropriate description of the dynamics of causality. The majority of current machine learning models in clinical decision sup...
The efficacy of virtual reality for upper limb rehabilitation in stroke patients: a systematic review and meta-analysis [0.03%]
卒中患者上肢康复虚拟现实疗效的系统评价和meta分析
Mohsen Soleimani,Marjan Ghazisaeedi,Soroush Heydari
Mohsen Soleimani
Background: Stroke frequently gives rise to incapacitating motor impairments in the upper limb. Virtual reality (VR) rehabilitation has exhibited potential for augmenting upper extremity recovery; nonetheless, the optimal...
Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies [0.03%]
复杂罕见病诊断中客观化问题：在纤毛病上测试现有诊断支持系统得到的经验教训
Carole Faviez,Xiaoyi Chen,Nicolas Garcelon et al.
Carole Faviez et al.
Background: There are approximately 8,000 different rare diseases that affect roughly 400 million people worldwide. Many of them suffer from delayed diagnosis. Ciliopathies are rare monogenic disorders characterized by a ...
Johnson Nyeko Oloya,Nelson Onira Alema,Christopher Okot et al.
Johnson Nyeko Oloya et al.
Background: The COVID-19 pandemic has dramatically impacted communities worldwide, particularly in developing countries. To successfully control the pandemic, correct information and more than 80% vaccine coverage in a po...
Wendy Burke,Andrew Stranieri,Taiwo Oseni et al.
Wendy Burke et al.
The Australian healthcare sector is a complex mix of government departments, associations, providers, professionals, and consumers. Cybersecurity attacks, which have recently increased, challenge the sector in many ways; however, the best a...
Homeostasis imbalance process ontology: a study on COVID-19 infectious processes [0.03%]
稳态失衡过程本体：基于COVID-19感染过程的研究
Yuki Yamagata,Tatsuya Kushida,Shuichi Onami et al.
Yuki Yamagata et al.
Background: One significant challenge in addressing the coronavirus disease 2019 (COVID-19) pandemic is to grasp a comprehensive picture of its infectious mechanisms. We urgently need a consistent framework to capture the...
Evaluation of usability and user feedback to guide telepharmacy application development in Indonesia: a mixed-methods study [0.03%]
一种混合研究方法：评估印度尼西亚远程药房应用程序的易用性和用户反馈以指导其开发
Sofa D Alfian,Jihan A Sania,Dzulfah Q Aini et al.
Sofa D Alfian et al.
Background: In Indonesia, the adoption of telepharmacy was propelled by the COVID-19 pandemic, prompting the need for a user-friendly application to support both the general population and pharmacists in accessing healthc...
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study [0.03%]
对中国接受化疗的乳腺癌患者体重管理人格的修正：一种多方法研究
Xinyu Li,Nan Zhang,Juan Yang et al.
Xinyu Li et al.
Development, comparison, and internal validation of prediction models to determine the visual prognosis of patients with open globe injuries using machine learning approaches [0.03%]
基于机器学习方法的眼球穿通伤患者视力预后预测模型的开发、比较和内部验证
Mehrdad Motamed Shariati,Saeid Eslami,Nasser Shoeibi et al.
Mehrdad Motamed Shariati et al.
Introduction: Open globe injuries (OGI) represent a main preventable reason for blindness and visual impairment, particularly in developing countries. The goal of this study is evaluating key variables affecting the progn...